PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Probabilistic Methods for Location Estimation in Wireless Networks
Petri Kontkanen, Petri Myllymäki, Teemu Roos, Henry Tirri, Kimmo Valtonen and Hannes Wettig
In: Emerging Location Aware Broadband Wireless Adhoc Networks (2004) Kluwer Academic Publishers .


Probabilistic modeling techniques offer a unifying theoretical framework for solving the problems encountered when developing location-aware and location-sensitive applications in wireless radio networks. In this paper we demonstrate the usefulness of the probabilistic modelling framework in solving not only the actual location estimation (positioning) problem, but also many related problems involving pragmatically important issues like calibration, active learning, error estimation and tracking with history. Some interesting links between positioning research done in the area of robotics and in the area of wireless radio networks are also discussed.

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EPrint Type:Book Section
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Computational, Information-Theoretic Learning with Statistics
ID Code:285
Deposited By:Hannes Wettig
Deposited On:23 November 2004